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In Apache Impala 2.7.0 to 3.2.0, an authenticated user with access to the IDs of active Impala queries or sessions can interact with those sessions or queries via a specially-constructed request and thereby potentially bypass authorization and audit mechanisms. Session and query IDs are unique and random, but have not been documented or consistently treated as sensitive secrets. Therefore they may be exposed in logs or interfaces. They were also not generated with a cryptographically secure random number generator, so are vulnerable to random number generator attacks that predict future IDs based on past IDs. Impala deployments with Apache Sentry or Apache Ranger authorization enabled may be vulnerable to privilege escalation if an authenticated attacker is able to hijack a session or query from another authenticated user with privileges not assigned to the attacker. Impala deployments with audit logging enabled may be vulnerable to incorrect audit logging as a user could undertake actions that were logged under the name of a different authenticated user. Constructing an attack requires a high degree of technical sophistication and access to the Impala system as an authenticated user.

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Apache Impala 访问控制错误漏洞

Apache Impala是美国阿帕奇（Apache）软件基金会的一套大规模、分布式并行处理的数据库查询系统。该系统能够查询存储在Hadoop（大数据分析软件）中的HDFS（分布式文件系统）和HBase（数据库）中的PB级大数据。 Apache Impala 2.7.0版本至3.2.0版本中存在安全漏洞。攻击者可利用该漏洞绕过授权和审计机制。

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